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05/22/2023
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
Auditing unwanted social bias in language models (LMs) is inherently har...
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05/08/2022
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
Clinical notes are becoming an increasingly important data source for ma...
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03/09/2022
Downstream Fairness Caveats with Synthetic Healthcare Data
This paper evaluates synthetically generated healthcare data for biases ...
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12/07/2021
Ground-Truth, Whose Truth? – Examining the Challenges with Annotating Toxic Text Datasets
The use of machine learning (ML)-based language models (LMs) to monitor ...
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08/03/2021
Your fairness may vary: Group fairness of pretrained language models in toxic text classification
We study the performance-fairness trade-off in more than a dozen fine-tu...
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06/17/2021
Biomedical Interpretable Entity Representations
Pre-trained language models induce dense entity representations that off...
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04/09/2021
Automated Meta-Analysis: A Causal Learning Perspective
Meta-analysis is a systematic approach for understanding a phenomenon by...
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11/18/2019
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
More than 200 generic drugs approved by the U.S. Food and Drug Administr...
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09/08/2019
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
In recent years there has been an increasing trend in which data scienti...
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07/16/2018
